Color-Texture-Based Image Retrieval System Using Gaussian Markov Random Field Model

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="410243.fig.005a" src="https://static.hindawi.com/articles/mpe/volume-2009/410243/figures/410243.fig.005a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Cartoon images</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="410243.fig.005b" src="https://static.hindawi.com/articles/mpe/volume-2009/410243/figures/410243.fig.005b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Nature images</td></tr></table></td></tr></table>

<table>The <svg height="11.825" id="M317" style="vertical-align:-3.27605pt" version="1.1" viewbox="0 0 13.6375 11.825" width="13.6375" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,7.675)"><path d="M393 379q-9 -16 -28 -29q-15 -10 -23 -2q-19 19 -36 19q-21 0 -52 -38q-57 -72 -82 -126l-40 -197q-23 -3 -75 -18l-7 7q49 196 74 335q7 43 -2 43q-7 0 -30 -14.5t-47 -37.5l-16 23q37 42 82 73t67 31q41 0 15 -113l-11 -50h4q41 71 85 117t77 46q29 0 45 -26
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<g transform="matrix(.012,-0,0,-.012,7.238,11.762)"><path d="M384 0h-275v27q67 5 81.5 18.5t14.5 68.5v385q0 38 -7.5 47.5t-40.5 10.5l-48 2v24q85 15 178 52v-521q0 -55 14.5 -68.5t82.5 -18.5v-27z" id="x31"></path></g>
</svg> and <svg height="11.825" id="M318" style="vertical-align:-3.27605pt" version="1.1" viewbox="0 0 13.6375 11.825" width="13.6375" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,7.675)"><path d="M393 379q-9 -16 -28 -29q-15 -10 -23 -2q-19 19 -36 19q-21 0 -52 -38q-57 -72 -82 -126l-40 -197q-23 -3 -75 -18l-7 7q49 196 74 335q7 43 -2 43q-7 0 -30 -14.5t-47 -37.5l-16 23q37 42 82 73t67 31q41 0 15 -113l-11 -50h4q41 71 85 117t77 46q29 0 45 -26
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<g transform="matrix(.012,-0,0,-.012,7.238,11.762)"><path d="M412 140l28 -9q0 -2 -35 -131h-373v23q112 112 161 170q59 70 92 127t33 115q0 63 -31 98t-86 35q-75 0 -137 -93l-22 20l57 81q55 59 135 59q69 0 118.5 -46.5t49.5 -122.5q0 -62 -29.5 -114t-102.5 -130l-141 -149h186q42 0 58.5 10.5t38.5 56.5z" id="x32"></path></g>
</svg> obtained by the GBPD in 100 iterations.</table>

Mathematical Problems in Engineering

fig5

Figure 5

Figure 5: Color-Texture-Based Image Retrieval System Using Gaussian Markov Random Field Model 